Simulation engine for Heta-based models

Implicitly defined graphs (possibly infinite)

Generate nice reports from MCMC-based approximations

Distributions and Sampleables with keys for the variates

Implement different KL Divergences analytically or by sampling

A common interface for different laser types

Lathe is an inclusive Predictive Learning module for Julia

Dirac operators for lattice QCD with Julia

Analysis of life tables implemented in Julia.

Epidemic spatial and temporal model setup and simulation. Focusing on state of the art epidemiology models such as universal differential equations, epidemiology-informed deep learning models. Part of Mathepia.jl

Matrix Product Belief Propagation

MCMCDebugging.jl: debugging utilities for MCMC samplers

Hypothesis Tests for Validating MCMC Kernels

Package for solving generalized BdG mean field theory of interacting systems.

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Population dynamics across space, in Julia.

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Permutation tests for MixedModels.jl

Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

One package to train them all

Monotone Cubic B-Splines (arXiv:2307.01748)

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Julia package to determine effective number of uncorrelated data points in a correlated data stream via an O(log N) online binning algorithm.

A Julia package for integrative cluster analysis of multiple genomics datasets

Linear periodic time-varying systems tools in Julia

Estimating the transfer operator (Perron Frobenius operator) and invariant measures from time series.

Phylogenetic Estimation of Shifts in the Tempo of Origination

Analysis of Gaussian models on phylogenetic networks using belief propagation (aka message passing)

Julia package for automating phylogenetic factor analysis model selection

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

Julia library for the computation of Poincaré integral invariants

Package for generating and parsing .pomdpx files for SARSOP

QSO spectral fitting made easy!

Algorithms for solving the quadratic assignment problem (QAP) implemented in Julia.

An implementation of quantile regression for Julia modeled after the R quantreg package.

A package for evaluating tail probabilities and partial moments for random vectors in multivariate generalized hyperbolic random vectors.